Neural scaling laws for an uncertain world.

@article{Howard2018NeuralSL,
  title={Neural scaling laws for an uncertain world.},
  author={Marc W. Howard and Karthik H. Shankar},
  journal={Psychological review},
  year={2018},
  volume={125 1},
  pages={
          47-58
        }
}
Autonomous neural systems must efficiently process information in a wide range of novel environments which may have very different statistical properties. We consider the problem of how to optimally distribute receptors along a 1-dimensional continuum consistent with the following design principles. First, neural representations of the world should obey a neural uncertainty principle-making as few assumptions as possible about the statistical structure of the world. Second, neural… CONTINUE READING
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